A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition: Variants, Challenges and Future Directions

A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition: Variants, Challenges and Future Directions

There are many challengeable multiobjective optimization problems in different areas, whose optimization objectives are usually diversionary. Decomposition methods and evolution mechanisms enable multiobjective evolutionary algorithms based on decomposition (MOEA/D) to tackle these complex optimizat...

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Bibliographic Details
Main Authors: Qian Xu, Zhanqi Xu, Tao Ma
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multiobjective evolutionary algorithms based on decomposition (MOEA/D)
decomposition method
weight vector generation method
evolutionary operator
many-objective optimization
Online Access:https://ieeexplore.ieee.org/document/8998284/

Internet

https://ieeexplore.ieee.org/document/8998284/

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